Triple

T1036285
Position Surface form Disambiguated ID Type / Status
Subject San Francisco 4th and King Street station E22369 entity
Predicate hasStationCode P1289 FINISHED
Object SFM
SFM is the station code for San Francisco's 4th and King Street Caltrain terminal, a major commuter rail hub in the city.
 E122067 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SFM | Statement: [San Francisco 4th and King Street station, hasStationCode, SFM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SFM
Context triple: [San Francisco 4th and King Street station, hasStationCode, SFM]
  • A. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • B. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • C. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • D. SDF
    SDF is the IATA airport code for Louisville Muhammad Ali International Airport, a major air cargo and passenger hub serving Louisville, Kentucky.
  • E. FFM
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SFM
Triple: [San Francisco 4th and King Street station, hasStationCode, SFM]
Generated description
SFM is the station code for San Francisco's 4th and King Street Caltrain terminal, a major commuter rail hub in the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SFM
Target entity description: SFM is the station code for San Francisco's 4th and King Street Caltrain terminal, a major commuter rail hub in the city.
  • A. SF
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • B. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • C. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • D. SDF
    SDF is the IATA airport code for Louisville Muhammad Ali International Airport, a major air cargo and passenger hub serving Louisville, Kentucky.
  • E. FFM
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82a1014819085bfc077e24c9742 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc378fc8190846d5ffce73371dd completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3df28858819091c594a9cb2aab07 completed March 7, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e5b716c8190b95fde14ee6c434a completed March 7, 2026, 3:03 p.m.
Created at: March 1, 2026, 7:41 p.m.